AI-900 - Azure AI Fundamentals | Microsoft Certification | Exam Questions | Exam Preparation | 400+ Real Exam-Oriented Questions

If you are planning to clear the Microsoft Azure AI Fundamentals (AI-900) certification, this blog is created specifically for you.

I have prepared a complete AI-900 question bank based on the official Microsoft study guide, real exam patterns, and hands-on Azure experience.
This content is ideal for beginners, working professionals, and students who want to pass the AI-900 exam with confidence.

🎯 Why This AI-900 Blog Is Useful

Most AI-900 learners struggle with:

• Understanding what kind of questions come in the real exam

• Identifying important vs less important topics

• Finding reliable practice questions with correct answers

• Getting clear explanations instead of dumps

This blog solves those problems.

✔ What You Will Get:

• ✅ 400+ exam-oriented AI-900 questions (target achieved soon)

• ✅ Questions aligned with latest Microsoft AI-900 syllabus

• ✅ Medium to advanced level questions (real exam style)

• ✅ Clear and correct answers

• ✅ YouTube video explanations for better understanding

• ✅ Structured learning from basic → medium → advanced

📘 AI-900 Exam Topics Covered

All questions are strictly based on the Microsoft AI-900 Study Guide, including:

🔹 1. Describe AI Workloads and Responsible AI

• Computer Vision workloads

• NLP workloads

• Document processing workloads

• Generative AI workloads

• Responsible AI principles:

  • Fairness

  • Reliability & Safety

  • Privacy & Security

  • Inclusiveness

  • Transparency

  • Accountability

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🔹 2. Machine Learning Fundamentals on Azure

• Regression, Classification, Clustering

• Features vs Labels

• Training vs Validation datasets

• Overfitting & Underfitting

• Automated Machine Learning (AutoML)

• Azure Machine Learning capabilities

• Model training, deployment & inference pipelines

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🔹 3. Computer Vision on Azure

• Image classification

• Object detection

• Optical Character Recognition (OCR / Read API)

• Facial detection & facial analysis

• Azure AI Vision service

• Face API scenarios

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🔹 4. Natural Language Processing (NLP)

• Key phrase extraction

• Entity recognition

• Sentiment analysis

• Language detection

• Speech-to-Text & Text-to-Speech

• Translation

• Azure AI Language service

• Azure AI Speech service

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🔹 5. Generative AI on Azure

• Generative AI concepts

• Azure OpenAI Service

• Prompt engineering basics

• Responsible AI considerations for generative AI

• Model safety & content moderation

• Azure AI Foundry & model catalog (exam-relevant concepts)

🎥 AI-900 YouTube Video Series (21 Videos)

To make learning easier, I have explained each question set in video format.

📌 Total Videos: 21
📌 Total Questions Covered: ~380 (Target: 400+)
📌 Difficulty Level: Real exam level

👉 Watch the full AI-900 playlist here:

https://www.youtube.com/playlist?list=PL_HS7IsXErLY5ui0xl8ioo6CS3cy2djoq

🧠 How to Use This Blog to Pass AI-900

I strongly recommend this approach:

1️⃣ First, go through Microsoft Learn AI-900 modules
2️⃣ Then, practice questions from this blog
3️⃣ Watch the related YouTube videos
5️⃣ Revise Responsible AI principles carefully
6️⃣ Attempt the exam with confidence 🚀

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🏆 Who Should Use This Blog?

This blog is perfect for:

• ✔ Beginners with no AI background

• ✔ Developers & IT professionals

• ✔ Students preparing for certifications

• ✔ Anyone planning to clear AI-900 in first attempt

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📢 Final Words

The AI-900 exam is not difficult, but it requires correct understanding and practice.
With 400+ real exam-oriented questions and 21 detailed videos, this blog is designed to be your one-stop AI-900 preparation resource.

If this content helps you:

• 👍 Like the videos

• 🔔 Subscribe to the channel

• 💬 Share this blog with others preparing for AI-900